Emerging Hallmarks of Metabolic Reprogramming in Prostate Cancer

Prostate cancer (PCa) is the most common male malignancy and the fifth leading cause of cancer death in men worldwide. Prostate cancer cells are characterized by a hybrid glycolytic/oxidative phosphorylation phenotype determined by androgen receptor signaling. An increased lipogenesis and cholestero...

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Bibliographic Details
Published in:International journal of molecular sciences 2023-01, Vol.24 (2), p.910
Main Authors: Lasorsa, Francesco, di Meo, Nicola Antonio, Rutigliano, Monica, Ferro, Matteo, Terracciano, Daniela, Tataru, Octavian Sabin, Battaglia, Michele, Ditonno, Pasquale, Lucarelli, Giuseppe
Format: Article
Language:English
Subjects:
Alternative energy
Androgen receptors
Angiogenesis
Antigens
Apoptosis
Biomarkers
Cell division
Disease
Enzymes
Extracellular matrix
Fatty acids
Genes
Glutamine
Glycolysis
Growth factors
Humans
Kinases
Lipids
Lipogenesis
Male
Malignancy
Medical prognosis
Metabolism
Metabolites
Metabolomics
Metastasis
Mitochondria
Obesity
Oxidation
Oxidative Phosphorylation
Phenotypes
Phosphorylation
Physiology
Prostate - pathology
Prostate cancer
Prostatic Neoplasms - metabolism
Proteins
Radiomics
Receptors, Androgen - genetics
Receptors, Androgen - metabolism
Review
Signal Transduction
Stromal cells
Therapeutic targets
Transcriptomics
Triglycerides
Tumor Microenvironment
Tumors
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Description
Summary:Prostate cancer (PCa) is the most common male malignancy and the fifth leading cause of cancer death in men worldwide. Prostate cancer cells are characterized by a hybrid glycolytic/oxidative phosphorylation phenotype determined by androgen receptor signaling. An increased lipogenesis and cholesterogenesis have been described in PCa cells. Many studies have shown that enzymes involved in these pathways are overexpressed in PCa. Glutamine becomes an essential amino acid for PCa cells, and its metabolism is thought to become an attractive therapeutic target. A crosstalk between cancer and stromal cells occurs in the tumor microenvironment because of the release of different cytokines and growth factors and due to changes in the extracellular matrix. A deeper insight into the metabolic changes may be obtained by a multi-omic approach integrating genomics, transcriptomics, metabolomics, lipidomics, and radiomics data.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms24020910